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Data Engineering & Data Science

Data Engineering

  • Data Pipelines (ETL/ELT)

  • Big Data Technologies

  • Cloud Computing for Data

  • Data Governance & Quality

Data Science

  • Machine Learning (ML)

  • Statistical Analysis

  • Data Visualization

  • Natural Language Processing (NLP)

  1. In this update, we cover new VDMs for Customer.io and Iterable, highlight the RudderStack Test API, and cover our recently attained SOC 2 Type II compliance.View the full article

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  2. Started by RudderStack,

    We're thrilled to announce the RudderStack and Avo partnership. Our partnership enables teams to get more insights into their tracking plans.View the full article

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  3. RudderStack does not use Log4j or any software impacted by this vulnerability. Read why teams choose us to safely manage customer data pipelines.View the full article

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  4. We recently helped a customer overcome the challenge of sending 5 million users/day from Snowflake to Iterable. This post details how we did it. View the full article

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  5. In 2021, we wrote about trends we saw emerging in data engineering and made a few predictions. Here, we revisit those predictions and make a few for 2022. View the full article

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  6. This post details our engineering team's decision making process for optimizing our Javascript SDK and highlights the results of their work.View the full article

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  7. Leveraging RudderStack with Braze, you can effortlessly sync data in and out of the customer engagement platform. View the full article

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  8. In this update we cover our latest Destination UI feature, our new VDM for Klaviyo, new SDKs and destination integrations, and more. View the full article

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  9. Data lakes and lakehouses are quickly becoming fully-featured data warehouses, making them a natural fit as the storage and processing layer for customer data. View the full article

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  10. Learn more about how to send event data from RudderStack to your Data Lake and Delta Lake destinations.View the full article

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  11. We are excited to announce our $56 Million Series B funding round led by Insight Ventures with continued support from Kleiner Perkins and S28 Capital.View the full article

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  12. Here we outline the foundational principles of the Customer Data Platform, and we detail the things you should consider when evaluating a CDP.View the full article

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  13. With RudderStack and Iterable, it’s as easy to collect the data required for great customer experiences as it is to use information to create themView the full article

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  14. In this update we introduce SDK Event Filtering, Beacon Support for JS, and OneTrust for JS along with a number of new integrations.View the full article

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  15. Expectations for data are higher than ever and come from a broad array of end users. These best practices will help you deliver better data products.View the full article

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  16. An overview of the architecture, data, and modeling you need to assess contribution to conversion in multi-touch customer journeys.View the full article

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  17. When it comes to Reverse ETL, the business use cases usually get all the attention. Here, we focus on how it makes data engineering easier. View the full article

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  18. In this update, we introduce our Shopify data source, v1.1 of our JavaScript SDK, and new integrations for Singular and Pardot.View the full article

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  19. Joybird Reduces Engineering Time Spent on Customer Data Integrations by 93% with RudderStackView the full article

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  20. We've rebranded Warehouse Actions to Reverse ETL and are excited to announce many new features including a visual data mapper, custom SQL models, and more.View the full article

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  21. Read about how we built our Reverse ETL tool and how choices our founding engineers made helped the team overcome some of the challenges involved in building. View the full article

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  22. In this post, we highlight the tradeoffs you should consider when deciding to build or buy your data pipelines. View the full article

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  23. In this post we explore how data engineering is changing as data tooling matures and new roles, like analytics engineering, emerge. View the full article

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  24. In this update we highlight new Reverse ETL features and announce new integrations including Google AdWords Enhanced Conversions, Airship, and Blueshift.View the full article

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  25. Fostering a paradigm shift towards a smarter, cleaner & reliable energy system Electricity is the new oil. Sources of energy are becoming more... View the full article

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  26. As a data scientist or machine learning engineer, you’re constantly challenged with building accurate models and deploying and scaling them effectively. The demand for AI-driven solutions is skyrocketing, and mastering the art of scaling machine learning (ML) applications has become more critical than ever. This is where Kubernetes emerges as a game-changer, often abbreviated as K8s. In this blog, we’ll see how you can leverage Kubernetes to scale machine learning applications... The post Tensorflow or PyTorch + K8s = ML apps at scale appeared first on Amazic. View the full article

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  27. Started by Databricks,

    Large language models (LLMs) have generated interest in effective human-AI interaction through optimizing prompting techniques. “Prompt engineering” is a growing methodology for tailoring... View the full article

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  28. What is the modern data stack? This simple framework will help you build a modern data stack wherever you are on your data maturity journey.View the full article

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  29. With RudderStack, you can build your customer data platform on top of Snowflake and keep control of your data.View the full article

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  30. In this update, we introduce Server-side enforcement of Tracking plans in the UI and highlight integration updates for Redshift, Google Analytics, and Marketo. View the full article

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  31. What are the limitations behind the push to unbundle the CDP, and is unbundling the best way to overcome them? Read our blog to find out. View the full article

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  32. The vertically integrated CDP isn’t working for today’s data teams. Here, we make the case for a three-layer decoupling to unlock modern use cases.View the full article

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  33. Started by RudderStack,

    When it comes to building a data stack, the first step is the most important. This detailed guide will help you get started with a robust foundation.View the full article

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  34. In this update, we introduce support for Attentive and six more new integrations. We also highlight our recent posts dissecting the push to unbundle the CDP. View the full article

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  35. How to build a data stack to 1) centralize every data point in a single storage/compute layer, and 2) make this layer accessible to every downstream tool.View the full article

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  36. RudderStack enabled Loveholidays to bring analytics and personalization in-house while complying with privacy regulations and saving money and time.View the full article

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  37. Learn how Magic Eden captured 95% market share of the Solana NFT ecosystem within six months of going online with the help of RudderStack.View the full article

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  38. Started by RudderStack,

    Learn how to build a data stack that moves you from historical analysis into the world of predictive analytics. View the full article

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  39. Started by RudderStack,

    Learn how to architect a data stack that unlocks real-time personalization use cases, enabling you to customize user experiences in-session.View the full article

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  40. One question our team often hears is: “is RudderStack a customer data platform, or customer data infrastructure?” View the full article

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  41. Easily lock down business critical pipelines, and limit access to debugging features where raw data is exposed within the RudderStack UI.View the full article

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  42. What to consider when integrating data in a world where more teams need access to more data for more complex use cases.View the full article

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  43. Learn how the RudderStack Engineering team diagnosed and fixed an issue with noisy alerts resulting from slow client requests.View the full article

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  44. Getting data integration right is a critical step as your company scales. Here you’ll learn how to build a data integration system for scale.View the full article

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  45. RudderStack is now HIPAA compliant and ready to sign BAA’s with customers. Learn how RudderStack makes security & compliance easy for healthcare data teams. View the full article

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  46. Learn how HIPAA-compliant customer data platform, RudderStack, is easing the pain of data integration for data teams in healthcare.View the full article

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  47. Snowflake names RudderStack One to Watch in the Analytics Category category of their annual Modern Marketing Data Stack Report. View the full article

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  48. Salesforce’s Customer Data Platform, Genie, relies on open data sharing with Snowflake. Does this signal a paradigm shift for the Customer 360? View the full article

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  49. Learn how to successfully plan and instrument event tracking for your websites and applications to improve data quality at the source.View the full article

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  50. A headless customer data platform architecture is the connective tissue between customer data, the cloud data warehouse, and the rest of the stack.View the full article

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